ML Lead Engineer

As a Lead Machine Learning Engineer, you will spearhead the design, development, and deployment of advanced ML models and systems. You will collaborate closely with the engineering team and product team to build solutions focused on financial markets. Key Responsibilities: - Collaborate with cross-functional teams to integrate ML solutions into products - Drive innovation by researching and applying the latest ML techniques and technologies - Lead the development of end-to-end ML workflows, with a focus on LLM-based architectures and applications - Fine-tune and optimize open-source and proprietary LLMs for real-world use cases - Apply techniques like retrieval-augmented generation (RAG), prompt engineering, and model compression to improve performance and efficiency - Work with product and engineering teams to integrate LLMs into customer-facing applications - Guide data collection, training pipeline setup, and deployment infrastructure - Stay current with advances in the LLM and generative AI space and assess their relevance to our work Requirements: - Strong expertise in Python, ML frameworks (TensorFlow, PyTorch, etc.), and cloud platforms (AWS/GCP/Azure) - Strong ML/NLP background with a proven track record in developing and shipping LLM-powered products - Deep familiarity with tools like Hugging Face Transformers, LangChain, OpenAI/Anthropic APIs, vector databases (e.g., Pinecone, Weaviate), and orchestration frameworks - Solid understanding of model evaluation, performance tuning, and responsible AI principles - Comfortable working in fast-paced, cross-functional environments - Knowledge and exposure to financial markets will be a huge plus,